The posting
About Euromonitor
Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence.
Purpose of the role
The Associate Product Manager will join Research Applications – Data Portfolio team in a permanent full-time role based in London, hybrid model (minimum 3 days a week in the office), reporting to the Senior Product Manager.
The role connects business stakeholders across our Research department with internal and external engineering teams, helping build solutions that meet business objectives and create value to our internal – and subsequently, external - clients. Working across the data portfolio, you will capture requirements for systems, integrations, data workflows and enterprise intellectual property, and see them delivered on time and to a high standard.
This role suits an early-career product manager who pairs fluency in data technologies with strong delivery execution and stakeholder management. This is a rare opportunity to build your product management foundations on a high-visibility portfolio that sits at the heart of the company’s data and AI strategy.
Key accountabilities
1. Understand the business and the client Understand who are our clients and why they consume our solutions; understand our business model, our unique value proposition and the company strategy; build deep knowledge on how Research teams produce data and how it reaches clients; build relationships with internal users to learn their workflows, constraints and pain points, and the commercial outcomes behind them. 2. Product Discovery Use your knowledge on the business, on internal and external clients to judge which problems are worth solving and to ground product decisions in evidence; influence prioritization decision-making; autonomously run product discovery and data analysis to identify opportunities; help shape and maintain the roadmap; influence decisions on time vs scope vs resource trade-offs. 3. Technology domain Apply your in-depth data domain knowledge partnering with architects and engineers to design data models, API contracts, systems integration, data pipelines and platform requirements representing client needs and business objectives. Design requirements for data products that people, systems and AI Agents can find, trust and reuse without rework. 4. Product Execution Independently lead sessions with stakeholders and line manager to gather, analyse, and document business and technical requirements. Autonomously collaborate with architects, data, platform and software engineers to clarify feasibility and align on the technical solution that addresses those requirements. Coordinate implementation. Provide documentation, training and support to end-users.
5. Stakeholder management
Keep engineering, stakeholders and leadership aligned; manage expectations and provide regular updates; Build and maintain strong relationships with stakeholders at all levels; Communicate progress, issues and solutions effectively within the project team and across stakeholders and end-users; Mentor junior team members.
Key accountabilities
- Understand the business and the client Understand who are our clients and why they consume our solutions; understand our business model, our unique value proposition and the company strategy; build deep knowledge on how Research teams produce data and how it reaches clients; build relationships with internal users to learn their workflows, constraints and pain points, and the commercial outcomes behind them.
- Product Discovery Use your knowledge on the business, on internal and external clients to judge which problems are worth solving and to ground product decisions in evidence; influence prioritization decision-making; autonomously run product discovery and data analysis to identify opportunities; help shape and maintain the roadmap; influence decisions on time vs scope vs resource trade-offs.
- Technology domain Apply your in-depth data domain knowledge partnering with architects and engineers to design data models, API contracts, systems integration, data pipelines and platform requirements representing client needs and business objectives. Design requirements for data products that people, systems and AI Agents can find, trust and reuse without rework.
- Product Execution Independently lead sessions with stakeholders and line manager to gather, analyse, and document business and technical requirements. Autonomously collaborate with architects, data, platform and software engineers to clarify feasibility and align on the technical solution that addresses those requirements. Coordinate implementation. Provide documentation, training and support to end-users.
- Stakeholder management Keep engineering, stakeholders and leadership aligned; manage expectations and provide regular updates; Build and maintain strong relationships with stakeholders at all levels; Communicate progress, issues and solutions effectively within the project team and across stakeholders and end-users; Mentor junior team members.
#LI-HYBRID #LI-AO1
Requirements
The ideal candidates will demonstrate:
- Experience with data platform, data workflow, ETL process, systems integration and APIs is a must-have.
- Solid knowledge on relational and non-relational data, structured and non-structured data is a must-have.
- Solid knowledge on system design principles is a must-have.
- Experience with hybrid architecture combining internal systems and AI agents
- 7+ years of experience working in Product Management domain in an Agile environment.
- Excellent communication skills and organisational skills. Oral and written fluency in English.
- Proficient in requirement gathering methodologies.
- Solid understanding of product discovery and product strategy concepts.
Desirable attributes:
- Experience with delivering requirements with data, platform and software engineers, and data scientists.
- Knowledge in data programming language (Python, SQL, R or other)
- Degree in Computer Science, Information Systems, Statistics or a related field. A master’s degree is a plus.
Benefits
Why work for Euromonitor?
Our Values:
- We seek individuals who act with integrity
- We look for candidates who are curious about the world
- We feel that as a community, we’re stronger together
- We seek to enable people to feel empowered
- We welcome candidates who bring strength in diversity
International: not only do we have a very multinational workforce in each office but we communicate across our 16 offices worldwide on a daily basis.
Hardworking and sociable: our staff know how to work hard and know also how to enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of other groups to be involved with.
Committed to making a difference: We believe that people are looking for something worthwhile in a company beyond the workplace. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It gives all new starters a donation amount on joining us which they can give to a charity of their choice.
It sees us reaching out into the local community with our mentoring, group volunteering, and fundraising initiatives as well as supporting international charities through our website sales, matching staff sponsorship fundraising, and carbon offsetting all our flights.
Excellent benefits: we offer competitive salaries, enhanced healthcare and pensions, plus generous holiday allowances, hybrid working and, in many offices, a Core Hours policy allowing flexible start and finish times to each day.
Opportunities to grow: we offer extensive training and development opportunities at all levels. The vast majority of our Managers and Directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent.
Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.
